The Handbook of Neural Computation is a practical, hands-on guide to the design and
implementation of neural networks used by scientists and engineers to tackle difficult and/or …

Working memory (WM) describes the temporary storage of task-relevant items and
procedural rules to guide action. Despite its central importance for goal-directed behavior …

The brain is an enormously complex system having a rich structure and flexible information
processing ability. It is a highly parallel, distributed and modifiable system different from the …

A sparsely encoded Willshaw-like attractor neural network based on the binary Hebbian
synapses is investigated analytically and by computer simulations. A special inhibition …

It has been hypothesized that the ventral stream processing for object recognition is based
on a mechanism called cortically local subspace untangling. A mathematical abstraction of …

Even though many neurochips have been developed and investigated, the best suitable
way for implementation has not been known clearly. Our approach is to exploit stochastic …

We study various models of associative memories with sparse information, ie a pattern to be
stored is a random string of 0s and 1s with about\log N log N 1s, only. We compare different …

Analytic treatment of a nonequilibrium random system with large degrees of freedom is one
of the most important problems of physics. However, little research has been done on this …

We investigate dynamical systems characterized by a time series of distinct semi-stable
activity patterns, as they are observed in cortical neural activity patterns. We propose and …

Human memory is capable of retrieving similar memories to a just retrieved one. This
associative ability is at the base of our everyday processing of information. Current models …